Volume 21, Issue 1 (7-2024)
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Ansari M A, meisami A. Introducing Optoskin V.0.1.Beta Software for Processing
and Analyzing Dermatoscopic Images. lmj 2024; 21 (1) :23-35
URL: http://icml.ir/article-1-635-en.html
URL: http://icml.ir/article-1-635-en.html
Abstract: (261 Views)
Introduction: Dermoscopes are key in dermatology for magnifying skin lesion images, which is crucial for diagnosing diseases such as melanoma. Adding software that processes and analyzes these images significantly aids dermatologists. This article presents Optoskin version 1, software that provides a graphical interface to enhance dermoscopes, developed at Shahid Beheshti University's Optical Imaging Laboratory and supported by the Parto Ava Atlas Company.
Method: This software is not only captures images of the skin but also processes them to analyze key features of skin lesions. By applying the ABCD algorithm, it measures symmetry, border irregularity, color, and diameter. After preprocessing the images and locating the lesion's edges, the software uses specialized algorithms to identify its visual characteristics.
Findings: we assess this software's effectiveness using real-world data and information from datasets like HAM10000 and PH2. The software demonstrated a solid performance, with a detection accuracy of 67%, a sensitivity of 72%, and a specificity of 61%.
Conclusion: Optoskin is designed to process and analyze dermatoscopic images. It automatically measures critical indices such as asymmetry, border irregularity, color, and diameter of lesions using the ABCD algorithm. The software also automatically classifies lesions as benign or malignant. When tested with real data and standard datasets, Optoskin has shown high effectiveness, with substantial accuracy, sensitivity, and specificity.
Method: This software is not only captures images of the skin but also processes them to analyze key features of skin lesions. By applying the ABCD algorithm, it measures symmetry, border irregularity, color, and diameter. After preprocessing the images and locating the lesion's edges, the software uses specialized algorithms to identify its visual characteristics.
Findings: we assess this software's effectiveness using real-world data and information from datasets like HAM10000 and PH2. The software demonstrated a solid performance, with a detection accuracy of 67%, a sensitivity of 72%, and a specificity of 61%.
Conclusion: Optoskin is designed to process and analyze dermatoscopic images. It automatically measures critical indices such as asymmetry, border irregularity, color, and diameter of lesions using the ABCD algorithm. The software also automatically classifies lesions as benign or malignant. When tested with real data and standard datasets, Optoskin has shown high effectiveness, with substantial accuracy, sensitivity, and specificity.
Keywords: Dermatoscopy, Image Processing, Image Analysis, Optoskin V.0.1.Beta, ABCD Algorithm, Melanoma Diagnosis
Educational: Research |
Subject:
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Received: 2024/07/23 | Accepted: 2024/07/21 | Published: 2024/07/21
Received: 2024/07/23 | Accepted: 2024/07/21 | Published: 2024/07/21
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